Busypoint is a system to measure wait times at various establishments and relay the information to users through a mobile application. Busypoint uses an image processing algorithm to extract data from CCTV cameras. This data is then used to derive a wait time approximation in real-time. This solution allows users to plan their day more effectively and avoid waiting in line. This technology can be used in a wide range of establishments where waiting is prevalent, such as restaurants, tourist attractions, nightclubs, and public services.
Group members: Jefferson Wang, Elliot Campbell, Jonathan Deiven, Monica Moore, Zachari Warner
Sexual health education is proven to prevent the onset of disease and improve overall well-being. Current solutions of seeking information lack credibility, availability or are subject to technical medical jargon. Our team is building Juno: an interactive, autonomous chatbot. Juno provides understandable, credible sexual health information to young adults seeking answers.
Group members: Juliet Liu, Melody Kuo, Emma Cooper, Maddy Ewins
Customers are hesitant to buy clothes online because they are unsure if those purchased clothes will fit as desired. Contour is an end-to-end online solution which extrapolates accurate user body measurements from user-submitted photos. Contour uses those body measurements to customize a user’s retail experience by serving the user with clothes that will fit properly.
Group members: Ali Vira, Vishal Babu, Garrett Hardy, Kevin Lau, Allan Meng
Pression aims to reduce the risk of pressure injuries for elderly wheelchair users by encouraging them to perform pressure-relieving exercises. The system begins with clinicians or nurses inputting patient data into the system. The system will recommend the best pressure relief exercises to encourage movement that would reduce the risk of pressure buildup, using a custom matching algorithm to allocate the right exercises to a patient. The product will motivate patients to participate in regular exercising through gamification.
Group members: Karthiga Vezhavendan, Deep Jani, Priya Menon, Valentin Tsatskin
Heat Exhaustion Monitoring in Youth Football Players
A wearable device that aims to prevent injury to or death of youth football players caused by heat stroke through encouraging early intervention. The coach is alerted when a player’s susceptibility to a heat exhaustion event increases beyond a set threshold, determined by monitoring the change in a player’s heart rate and temperature over time, relative to the user’s fitness profile. The device suggests remedies to reduce risk, such as increasing water intake.
Group members: Elizabeth Wills, Meaghan Choi, Eryn Dickison, Thomas Boland.
A system which detects potholes on city roads using ultrasonic sensors and cameras retro-fitted to vehicles and provides pothole data for road maintenance coordinators to manage repairs.
Group members: Joey Loi, Aiden Lee, Atef Chaudhury, Stuart Van Campen
Snow removal is time consuming, demands physical exertion, and poses a risk for injury. The team’s goal was to develop a solution to address these problems, as well as the limitations of the current state of the art for homeowners in southern Ontario. Akira is an automated snow removal solution that uses ultrasonic technology to navigate the user’s property and strategically remove snow as it falls.
Group members: Jad Hamawi, Sarah Cook, Jason Sekiguchi, Nick Mulder
Hundreds of products are recalled annually because of issues causing injury or death. Consumers often spot these issues and complain about them online, long before the first serious injury or death occurs. We applied machine learning to a corpus of millions of reviews from across the internet, and a database of thousands of recalls, to create a system to identify recallable issues that consumers mention. Our aim is to help consumer protection agencies identify these issues and declare recalls before serious injury or death occurs.
Group members: Julian Man, Graham Bleaney, Hossein Mayanloo, Matt Kuzyk
Our project aims to address the shortcomings of blacklist based computer network intrusion detection systems by providing a machine learning based approach to learning “normal” behaviour on a network and using this learned model to detect possible threats. It also aims to address the generally poor user experiences provided by modern state of the art systems in production today.
Group members: Anthony Stevens, Drew Warkentin, Erik Derohanian, Karan Thukral
The United States has legislated that all containers arriving by sea must be scanned for radioactive materials and munitions, before entering US territory. Equus is a project that seeks to assess the feasibility of this initiative, by determining at which ports to place these scanners. This optimization problem finds the ports which minimize the total shipping cost, while within port capacity and other real world limitations. These results will help the US government determine which countries to approach, and to develop a reasonable cost estimate.
Group members: William Bradbeer, Ambika Opal, Duy Huynh, Charlotte Dyck
Parkinson's Disease (PD) is a long-term neurodegenerative disorder that affects various motor functions. While walking, patients often experience "Freezing of Gait" (FOG) episodes where they suddenly feel like their feet are "stuck" to the floor. This is one of the most debilitating and least understood symptoms in PD patients, and practical existing solutions are limited. Our project aims to help patients overcome Freeze of Gait episodes using a detection and correction system that augments sensory cues in an effective yet practical manner.
Group members: Huzaifa Galely, Istvan Soos, Brandon Wong, Christina Mahna
RVN (Reciprocal Volunteerism Network)
The interaction between youth (15 - 24) and older adults (65+) has substantially declined. This is a problem due to the fact that both demographics lose significant benefits. Youth lose the transfer of basic skills and wisdom, and older adults lose the energy and enthusiasm that a child brings. Our goal is to create a platform that will be used to foster the communication between the two age groups. This includes relationship growth and understanding between the two demographics.
Group members: Arieze Kanji, Samuel Lawrence Barnard, Kathika Uthayakumar, Danyal Montazeralghaem, Kajaruban Kulasingam
Adaptive Ads aims to build a system that can target ads towards the everyday viewer in public environments. It first recognizes the viewer’s characteristics by identifying age, gender, and branding. It then determines the best ad suited for the identified demographic from an ad database. Lastly, it collects data on the demographic present and ad performance which it then serves back to enterprises to help them improve. The inspiration for this project comes from the success of its counterpart, online advertising.
Group members: Arya Talebzadeh, Adi Pruthi, Martin Fung, Hyder SM
Ergonomics in Masonry Training
The Masonry Posture Correction System (MPCS) is a system for masonry apprentices and their trainers. The system helps minimize workplace repetitive strain injuries by providing feedback on how to correct their ergonomic posture. The ultimate goal is to increase the productive working years of masons. The product includes a wearable sensor suit for posture detection, machine learning, and user-facing feedback.
Group members: Elizabeth Yang, Natalie Hirano, Jenny Wen, Radhika Bhargava
Chameleon Hearing Protection
Workers in environments such as construction sites, machine shops, and factories are periodically exposed to loud, potentially damaging noise while at other times must be able to communicate and hear important sounds. Many workers choose not to wear hearing protection since it's tedious and time consuming to repeatedly remove and re-apply it. Our device provides dynamic hearing protection, and adjusts its attenuation based on the environmental sound level. This allows the wearer to both communicate during quieter periods, and protect their hearing from damaging sounds.
Group members: David Lu, Dan Schwarz, Adam Thompson, Michal Ulman
Novice users have a difficult time learning how to fly quadcopters and are often involved in several mishaps. Our team has created a system that identifies quadcopter accidents while in flight and notifies the user of the situation. This will help increase the awareness level of the users which may help the user avoid the accident. This system uses a pattern recognition algorithm that identifies any anomalies within the flight data and notifies the user accordingly.
Group members: Nestor Abarca, Akshay Pala, Kenneth Dawson, Ameya Sindgikar
In orthopedic surgery, bone grafts are used to replace portions of bone which have been lost due to trauma or bone cancer. The SkelePrint 3D printer aims to produce a replacement for metal and allograft implants by using an additive lathe-type cylindrical printing process to generate bone grafts that are stronger than conventional Cartesian 3D printed bone grafts . The printer deposits a biomaterial developed by Professor Willett’s lab on campus to produce biocompatible bone grafts that promote bone growth and regeneration.
Group members: Josh Bradshaw, Kyla Gardner, Isaac Hunter, Alex Upenieks, Matt Jones, Shubh Jagani
Currently, the virtual reality experience looks real, but it does not feel real. This affects how users interact with the virtual environment. Hapticity aims to provide haptic feedback in virtual reality, to increase its realism. A wireless controller capable of providing haptic feedback to the user’s fingers was developed. It tracks the position and orientation of the user’s fingers and hand to provide haptic feedback according to their interactions with objects in virtual reality.
Group members: Sean Stanlick (ME), Ken Wong (ME), Ming Hong (Chris) Choi (SYDE), Wesley Chai (SYDE)
Wet Welding Robotics
Welding in hyperbaric marine conditions is a high-risk job required for building, maintenance and repair of underwater structures. Our project aims to eliminate the safety hazards to underwater welders by removing the welder from the site and providing a remotely operated robotic arm to perform the weld. Our goals include the design and specification of a five degree of freedom robotic arm, and a two degree of freedom proof of concept arm. Both arms are fully waterproofed with haptic feedback response for the users.
Group members: Ea Laine Delena, David DeRooy, Matthew Post, Brian Howe
OpenMind is a smart mental health management application that assists in managing and improving the user’s mental health. Mental illnesses are a growing concern in the modern society. A study done by the World Health Organization revealed that 55% of mental health problems don't receive any treatment. Using physical activity data, daily journaling and other information, OpenMind can analyze the mental health of the user and provide intelligent feedback, allowing users to track and manage their mental health easily and effectively.
Group members: Rehan Anwar, Shirshak Shrestha, Aly Haji, Sujan Subendran
Optimal Control of an Insulin Pump
Type 1 diabetics who use an insulin pump to control their blood sugar find it very difficult to tune their insulin pump settings. The design project objective is to build and verify a system for recommending settings for insulin pumps that provide their users with optimal blood sugar control.
Group members: Rick Saha, Elvina Tse, Manraj Tatla